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RGF 1.1.1

• I disabled the tests that require Python on CRAN due to the fact that I don’t know beforehand which Python version is used and this leads to errors.

RGF 1.1.0

• Upgraded roxygen2 to version 7.2.1 to fix the CRAN NOTE *“Warning: missing before

  “*

RGF 1.0.9

• We’ve added a ‘packageStartupMessage’ informing the user in case of the error ‘attempt to apply non-function’ that he/she has to use the ‘reticulate::py_config()’ before loading the package (in a new R session)

RGF 1.0.8

• We’ve modified the DESCRIPTION file by adding the ‘Orcid’ Number for the person ‘Lampros Mouselimis’
• We’ve removed the ‘maintainer’ in the DESCRIPTION because this field is created automatically
• We’ve removed the ‘LazyData’ in the DESCRIPTION file that gave a NOTE on the CRAN checks
• We’ve converted all ‘reticulate::py_available(initialize = TRUE)’ to ‘reticulate::py_available(initialize = FALSE)’ otherwise it would give a NOTE on the CRAN tests for the Windows Operating System
• We’ve removed all comments from the ‘package.R’ file
• We’ve added the ‘inst’ folder and the ‘CITATION’ file to cite the software and the original articles / software

RGF 1.0.7

• We’ve modified the package.R file so that messages are printed to the console whenever Python or any of the required modules is not available. Moreover, for the R-package testing the conda environment parameter is adjusted ( this applies to the RGF-team Github repository and not to the CRAN package directly )
• We’ve modified the .appveyor.yml file to return the artifacts in order to observe if tests ran successfully ( this applies to the RGF-team Github repository and not to the CRAN package directly )
• We’ve added tests to increase the code coverage.
• We’ve dropped support for Python 2.7
• We’ve fixed also the invalid URL’s in the README.md file
• We removed the ‘zzz.R’ file which included the message: ‘Beginning from version 1.0.3 the ’dgCMatrix_2scipy_sparse’ function was renamed to ‘TO_scipy_sparse’ and now accepts either a ‘dgCMatrix’ or a ‘dgRMatrix’ as input. The appropriate format for the ‘RGF’ package in case of sparse matrices is the ‘dgCMatrix’ format (scipy.sparse.csc_matrix)’ as after 4 version updates is no longer required
• We’ve modified the ‘.onLoad’ function in the ‘package.R’ file by removing ‘reticulate::py_available(initialize = TRUE)’ which forces reticulate to initialize Python and gives the following NOTE on CRAN ‘Warning in system2(command = python, args = shQuote(config_script), stdout = TRUE, : …“’ had status 2’ (see: https://github.com/rstudio/reticulate/issues/730#issuecomment-594365528)

RGF 1.0.6

• We’ve added the init_model parameter to the RGFRegressor and RGFClassifier
• We’ve added the save_model method to the RGFRegressor and RGFClassifier
• Source files were broken up into one file per exported object as of #266
• Internal calls to estimator constructors were changed to use keyword, instead of positional, arguments. #267

RGF 1.0.5

The RGF R package was integrated in the home repository of the Regularized Greedy Forest (RGF) library (https://github.com/RGF-team).

• We downgraded the minimum required version of R to 3.2.0
• We modified / formatted the R files

RGF 1.0.4

• We modified the license from GPL-3 to MIT to go in accordance with the new structure of the rgf_python package. The package includes two files : LICENSE (for the RGF R package) and LICENSE.note (for the RGF, FastRGF and rgf_python packages).
• We added the following new features of RGF estimators : feature_importances_ and dump_model()
• We modified the README.md file and especially the installation instructions for all operating systems (Linux, Mac OS X, Windows)
• We created an R6 class (Internal_class) for all secondary functions which are used in RGF and FastRGF

RGF 1.0.3

• The dgCMatrix_2scipy_sparse function was renamed to TO_scipy_sparse and now accepts either a dgCMatrix or a dgRMatrix as input. The appropriate format for the RGF package in case of sparse matrices is the dgCMatrix format (scipy.sparse.csc_matrix)
• We added an onload.R file to inform the users about the previous change
• Due to the previous changes we modified the Vignette and the tests too

RGF 1.0.2

We commented the example(s) and test(s) related to the dgCMatrix_2scipy_sparse function [ if (Sys.info()[“sysname”] != ‘Darwin’) ], because the scipy-sparse library on CRAN is not upgraded and the older version includes a bug (TypeError : could not interpret data type). This leads to an error on Mac OS X ( reference : https://github.com/scipy/scipy/issues/5353 ).

RGF 1.0.1

We added links to the GitHub repository (master repository, issues).

RGF 1.0.0

Initial version.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.